{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Alexander\Dropbox\How rto survey about turnout\Submission\JEPS\Replication file\Short paragraph experiment - Stata log file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 3 Dec 2017, 15:15:43

{com}. do "C:\Users\ALEXAN~1\AppData\Local\Temp\STD00000000.tmp"
{txt}
{com}. /// This Dataverse file prensents a list of commands allowing users to replicate some of results to be published in 
> /// Morin-Chassé, Alexandre. In Press. "How to survey about electoral turnout? Additional evidence." Journal of Experimental Political Science
> /// The Dataverse replication file is divided in two parts. 
> ///   1) Replication for the Short Paragraph Experiment
> ///   2) Replication for the Face-Saving Response Items experiments.
> 
. ///The present syntax file is for the first item of this list: "1) Replication of the Short Paragraph Experiment"
> 
. ///The dataset for the 2015 Canadian election survey was downloaded from the website of the Canadian Election Study on the 3rd of March, 2017.
> ///This website can be accessed from the following URL: http://ces-eec.arts.ubc.ca/ . 
> ///I used the data file that combines all the waves conducted for this election study.
> 
. ///To save space, the file included in the Dataverse includes only those variables relevant for the present study. 
> ///I kept the same variable labels as those that appear in the original file, making it easier to retrace which variables I used.
>  
. ///Open the datafile named "Short paragraph experiment - Stata data file".
> ///Once the data file is open, run the following commands.
> 
. 
.                                           
.  ///     db                 mm     db        `7MM          
>  ///    ;MM:                MM                 MM          
>  ///   ,V^MM.    `7Mb,od8 mmMMmm `7MM  ,p6"bo  MM  .gP"Ya  
>  ///  ,M  `MM      MM' "'   MM     MM 6M'  OO  MM ,M'   Yb 
>  ///  AbmmmqMA     MM       MM     MM 8M       MM 8M"""""" 
>  /// A'     VML    MM       MM     MM YM.    , MM YM.    , 
> ///.AMA.   .AMMA..JMML.     `Mbmo.JMML.YMbmd'.JMML.`Mbmmd' 
> 
. 
. order  p_disab, after(p_votedlong)
{txt}
{com}. order sex_r age education interest voted_2011, after (p_disab)
{txt}
{com}. 
. gen treatment=.
{txt}(7,479 missing values generated)

{com}. replace treatment=0 if p_voted!=.
{txt}(2,222 real changes made)

{com}. replace treatment=1 if p_votedlong!=.
{txt}(2,186 real changes made)

{com}. label def treatment  0 "control" 1 "treatment"
{txt}
{com}. label val treatment treatment
{txt}
{com}. 
. gen voted=.
{txt}(7,479 missing values generated)

{com}. replace voted=p_voted if p_voted!=.
{txt}(2,222 real changes made)

{com}. replace voted=p_votedlong if p_votedlong!=.
{txt}(2,186 real changes made)

{com}. recode voted 3=.
{txt}(voted: 22 changes made)

{com}. recode voted 4=.
{txt}(voted: 30 changes made)

{com}. recode voted 1000=.
{txt}(voted: 22 changes made)

{com}. recode voted 2=0
{txt}(voted: 544 changes made)

{com}. label def voted  0 "No" 1 "Yes"
{txt}
{com}. label val voted voted
{txt}
{com}. 
. recode p_disab 2=0 3=. 4=. 1000=.
{txt}(p_disab: 3771 changes made)

{com}. 
. ***Main effect
. 
. 
. /// #######                                 #####  
> ///    #      ##   #####  #      ######    #     # 
> ///    #     #  #  #    # #      #               # 
> ///    #    #    # #####  #      #####      #####  
> ///    #    ###### #    # #      #         #       
> ///    #    #    # #    # #      #         #       
> ///    #    #    # #####  ###### ######    ####### 
>                                                               
. 
. tab voted treatment if p_disab==1, chi col // Disabilities: Yes
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}       treatment
     voted {c |}   control  treatment {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}        37         48 {txt}{c |}{res}        85 
           {txt}{c |}{res}     10.91      16.72 {txt}{c |}{res}     13.58 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       302        239 {txt}{c |}{res}       541 
           {txt}{c |}{res}     89.09      83.28 {txt}{c |}{res}     86.42 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       339        287 {txt}{c |}{res}       626 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}1{txt}) = {res}  4.4713  {txt} Pr = {res}0.034
{txt}
{com}. tab voted treatment if p_disab==0, chi col // Disabilities: No 
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}       treatment
     voted {c |}   control  treatment {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}       214        221 {txt}{c |}{res}       435 
           {txt}{c |}{res}     12.08      12.30 {txt}{c |}{res}     12.19 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}     1,557      1,576 {txt}{c |}{res}     3,133 
           {txt}{c |}{res}     87.92      87.70 {txt}{c |}{res}     87.81 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,771      1,797 {txt}{c |}{res}     3,568 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}1{txt}) = {res}  0.0384  {txt} Pr = {res}0.845
{txt}
{com}. tab voted treatment, chi col  // All sample
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}       treatment
     voted {c |}   control  treatment {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}       265        279 {txt}{c |}{res}       544 
           {txt}{c |}{res}     12.11      13.00 {txt}{c |}{res}     12.55 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}     1,923      1,867 {txt}{c |}{res}     3,790 
           {txt}{c |}{res}     87.89      87.00 {txt}{c |}{res}     87.45 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     2,188      2,146 {txt}{c |}{res}     4,334 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}1{txt}) = {res}  0.7808  {txt} Pr = {res}0.377
{txt}
{com}. 
. 
. 
. 
. ///    ____              ___                                                                                 ___                
> ///   6MMMMb             `MM 68b                                                                             `MM 68b            
> ///  8P    Y8             MM Y89                                                                              MM Y89            
> /// 6M      Mb ___  __    MM ___ ___  __     ____            ___   __ ____  __ ____     ____  ___  __     ____MM ___ ____   ___ 
> /// MM      MM `MM 6MMb   MM `MM `MM 6MMb   6MMMMb         6MMMMb  `M6MMMMb `M6MMMMb   6MMMMb `MM 6MMb   6MMMMMM `MM `MM(   )P' 
> /// MM      MM  MMM9 `Mb  MM  MM  MMM9 `Mb 6M'  `Mb       8M'  `Mb  MM'  `Mb MM'  `Mb 6M'  `Mb MMM9 `Mb 6M'  `MM  MM  `MM` ,P   
> /// MM      MM  MM'   MM  MM  MM  MM'   MM MM    MM           ,oMM  MM    MM MM    MM MM    MM MM'   MM MM    MM  MM   `MM,P    
> /// MM      MM  MM    MM  MM  MM  MM    MM MMMMMMMM       ,6MM9'MM  MM    MM MM    MM MMMMMMMM MM    MM MM    MM  MM    `MM.    
> /// YM      M9  MM    MM  MM  MM  MM    MM MM             MM'   MM  MM    MM MM    MM MM       MM    MM MM    MM  MM    d`MM.   
> ///  8b    d8   MM    MM  MM  MM  MM    MM YM    d9       MM.  ,MM  MM.  ,M9 MM.  ,M9 YM    d9 MM    MM YM.  ,MM  MM   d' `MM.  
> ///   YMMMM9   _MM_  _MM__MM__MM__MM_  _MM_ YMMMM9        `YMMM9'Yb.MMYMMM9  MMYMMM9   YMMMM9 _MM_  _MM_ YMMMMMM__MM__d_  _)MM_ 
> ///                                                                 MM       MM                                                 
> ///                                                                 MM       MM                                                 
> ///                                                                _MM_     _MM_                                                
> 
. 
. recode interest 1000=.
{txt}(interest: 20 changes made)

{com}. replace interest=interest-14
{txt}(6,954 real changes made)

{com}. 
. recode voted_2011 2=0 3=0 4=. 5=. 6=. 1000=.
{txt}(voted_2011: 2165 changes made)

{com}. 
. gen age_cat=2015-age if age>1899
{txt}(508 missing values generated)

{com}. replace age_cat=0 if age_cat>=18 &age_cat<=24
{txt}(943 real changes made)

{com}. replace age_cat=1 if age_cat>=25 &age_cat<=34
{txt}(1,187 real changes made)

{com}. replace age_cat=2 if age_cat>=35 &age_cat<=44
{txt}(1,150 real changes made)

{com}. replace age_cat=3 if age_cat>=45 &age_cat<=54
{txt}(1,195 real changes made)

{com}. replace age_cat=4 if age_cat>=55 &age_cat<=64
{txt}(1,236 real changes made)

{com}. replace age_cat=5 if age_cat>=65 &age_cat<=74
{txt}(1,021 real changes made)

{com}. replace age_cat=6 if age_cat>=75
{txt}(747 real changes made)

{com}. order age_cat, after(age)
{txt}
{com}. label def age_cat 0 "18-24" 1 "25-34" 2 "35-44" 3 "45-54" 4 "55-64" 5 "65-74" 6 "75+"
{txt}
{com}. label val age_cat age_cat
{txt}
{com}. 
. recode education 1000=. 13=. 12=.
{txt}(education: 71 changes made)

{com}. gen educ_cat=.
{txt}(7,479 missing values generated)

{com}. replace educ_cat=0 if education==1
{txt}(18 real changes made)

{com}. replace educ_cat=0 if education==2
{txt}(46 real changes made)

{com}. replace educ_cat=0 if education==3
{txt}(71 real changes made)

{com}. replace educ_cat=0 if education==4
{txt}(457 real changes made)

{com}. replace educ_cat=1 if education==5
{txt}(1,392 real changes made)

{com}. replace educ_cat=2 if education==6
{txt}(868 real changes made)

{com}. replace educ_cat=2 if education==7
{txt}(1,297 real changes made)

{com}. replace educ_cat=2 if education==8
{txt}(723 real changes made)

{com}. replace educ_cat=3 if education==9
{txt}(1,382 real changes made)

{com}. replace educ_cat=3 if education==10
{txt}(393 real changes made)

{com}. replace educ_cat=3 if education==11
{txt}(334 real changes made)

{com}. order educ_cat, after(education)
{txt}
{com}. label def educ_cat 0 "Less than HS" 1 "High School" 2"Some College" 3 "Univ. Degree"
{txt}
{com}. label val educ_cat educ_cat
{txt}
{com}. 
. 
. 
. 
. /// #######                                   #     #####  
> ///    #      ##   #####  #      ######      # #   #     # 
> ///    #     #  #  #    # #      #          #   #        # 
> ///    #    #    # #####  #      #####     #     #  #####  
> ///    #    ###### #    # #      #         ####### #       
> ///    #    #    # #    # #      #         #     # #       
> ///    #    #    # #####  ###### ######    #     # ####### 
>         
. tab sex_r treatment if voted!=.  & sex_r<3, col chi
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

  Are you? [This will {c |}
      Auto-Advance on {c |}       treatment
              choice] {c |}   control  treatment {c |}     Total
{hline 22}{c +}{hline 22}{c +}{hline 10}
                 Male {c |}{res}     1,057      1,047 {txt}{c |}{res}     2,104 
                      {txt}{c |}{res}     48.42      48.93 {txt}{c |}{res}     48.67 
{txt}{hline 22}{c +}{hline 22}{c +}{hline 10}
               Female {c |}{res}     1,126      1,093 {txt}{c |}{res}     2,219 
                      {txt}{c |}{res}     51.58      51.07 {txt}{c |}{res}     51.33 
{txt}{hline 22}{c +}{hline 22}{c +}{hline 10}
                Total {c |}{res}     2,183      2,140 {txt}{c |}{res}     4,323 
                      {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}1{txt}) = {res}  0.1106  {txt} Pr = {res}0.739
{txt}
{com}. tab age_cat treatment if voted!=. , col chi
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}       treatment
   age_cat {c |}   control  treatment {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     18-24 {c |}{res}       176        168 {txt}{c |}{res}       344 
           {txt}{c |}{res}      8.04       7.83 {txt}{c |}{res}      7.94 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     25-34 {c |}{res}       302        306 {txt}{c |}{res}       608 
           {txt}{c |}{res}     13.80      14.26 {txt}{c |}{res}     14.03 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     35-44 {c |}{res}       329        312 {txt}{c |}{res}       641 
           {txt}{c |}{res}     15.04      14.54 {txt}{c |}{res}     14.79 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     45-54 {c |}{res}       408        394 {txt}{c |}{res}       802 
           {txt}{c |}{res}     18.65      18.36 {txt}{c |}{res}     18.50 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     55-64 {c |}{res}       470        443 {txt}{c |}{res}       913 
           {txt}{c |}{res}     21.48      20.64 {txt}{c |}{res}     21.07 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     65-74 {c |}{res}       362        384 {txt}{c |}{res}       746 
           {txt}{c |}{res}     16.54      17.89 {txt}{c |}{res}     17.21 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       75+ {c |}{res}       141        139 {txt}{c |}{res}       280 
           {txt}{c |}{res}      6.44       6.48 {txt}{c |}{res}      6.46 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     2,188      2,146 {txt}{c |}{res}     4,334 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}6{txt}) = {res}  1.9623  {txt} Pr = {res}0.923
{txt}
{com}. tab educ_cat treatment if voted!=. , col chi
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

             {c |}       treatment
    educ_cat {c |}   control  treatment {c |}     Total
{hline 13}{c +}{hline 22}{c +}{hline 10}
Less than HS {c |}{res}       167        142 {txt}{c |}{res}       309 
             {txt}{c |}{res}      7.77       6.77 {txt}{c |}{res}      7.28 
{txt}{hline 13}{c +}{hline 22}{c +}{hline 10}
 High School {c |}{res}       417        424 {txt}{c |}{res}       841 
             {txt}{c |}{res}     19.40      20.23 {txt}{c |}{res}     19.81 
{txt}{hline 13}{c +}{hline 22}{c +}{hline 10}
Some College {c |}{res}       887        874 {txt}{c |}{res}     1,761 
             {txt}{c |}{res}     41.26      41.70 {txt}{c |}{res}     41.47 
{txt}{hline 13}{c +}{hline 22}{c +}{hline 10}
Univ. Degree {c |}{res}       679        656 {txt}{c |}{res}     1,335 
             {txt}{c |}{res}     31.58      31.30 {txt}{c |}{res}     31.44 
{txt}{hline 13}{c +}{hline 22}{c +}{hline 10}
       Total {c |}{res}     2,150      2,096 {txt}{c |}{res}     4,246 
             {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}3{txt}) = {res}  1.8867  {txt} Pr = {res}0.596
{txt}
{com}. oneway interest treatment if voted!=., t

            {txt}{c |}  Summary of How interested are you
            {c |}  in this FEDERAL election? Using a
            {c |}       scale from 0 to 10, whe
  treatment {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
    control {c |}  {res} 6.9017176   2.6080245       2,096
  {txt}treatment {c |}  {res}  6.998045   2.5822407       2,046
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 6.9492999   2.5954539       4,142

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 9.60697292      1   9.60697292      1.43     0.2324
{txt} Within groups     {res}  27885.746   4140   6.73568744
{txt}{hline 72}
    Total          {res}  27895.353   4141   6.73638082

{txt}Bartlett's test for equal variances:  chi2({res}1{txt}) = {res}  0.2042{txt}  Prob>chi2 = {res}0.651
{txt}
{com}. mean interest if treatment!=. & voted!=.
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}     4,142

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 4}interest {c |}{col 14}{res}{space 2}   6.9493{col 26}{space 2} .0403281{col 37}{space 5} 6.870235{col 51}{space 3} 7.028365
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. tab voted_2011 treatment if voted!=. , col chi
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

    Did you happen to {c |}
     vote in the last {c |}
  Federal election in {c |}       treatment
           2011? [AA] {c |}   control  treatment {c |}     Total
{hline 22}{c +}{hline 22}{c +}{hline 10}
                    0 {c |}{res}       443        420 {txt}{c |}{res}       863 
                      {txt}{c |}{res}     21.22      20.67 {txt}{c |}{res}     20.95 
{txt}{hline 22}{c +}{hline 22}{c +}{hline 10}
                  Yes {c |}{res}     1,645      1,612 {txt}{c |}{res}     3,257 
                      {txt}{c |}{res}     78.78      79.33 {txt}{c |}{res}     79.05 
{txt}{hline 22}{c +}{hline 22}{c +}{hline 10}
                Total {c |}{res}     2,088      2,032 {txt}{c |}{res}     4,120 
                      {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}1{txt}) = {res}  0.1862  {txt} Pr = {res}0.666
{txt}
{com}. 
. /// #######                                   #     #####  
> ///    #      ##   #####  #      ######      # #   #     # 
> ///    #     #  #  #    # #      #          #   #        # 
> ///    #    #    # #####  #      #####     #     #  #####  
> ///    #    ###### #    # #      #         #######       # 
> ///    #    #    # #    # #      #         #     # #     # 
> ///    #    #    # #####  ###### ######    #     #  #####  
> 
. logit voted i.treatment c.interest c.educ_cat /// Direct effects
> c.age_cat  i.voted_2011 i.p_disab

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -1399.193}  
Iteration 1:{space 3}log likelihood = {res:-1090.4829}  
Iteration 2:{space 3}log likelihood = {res:-934.26278}  
Iteration 3:{space 3}log likelihood = {res:-926.68381}  
Iteration 4:{space 3}log likelihood = {res: -926.6618}  
Iteration 5:{space 3}log likelihood = {res: -926.6618}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,807
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}    945.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -926.6618{txt}{col 49}Pseudo R2{col 67}= {res}    0.3377

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatment {c |}
{space 2}treatment  {c |}{col 14}{res}{space 2}-.1353811{col 26}{space 2} .1221182{col 37}{space 1}   -1.11{col 46}{space 3}0.268{col 54}{space 4}-.3747283{col 67}{space 3} .1039662
{txt}{space 4}interest {c |}{col 14}{res}{space 2} .2778497{col 26}{space 2} .0216309{col 37}{space 1}   12.85{col 46}{space 3}0.000{col 54}{space 4} .2354539{col 67}{space 3} .3202455
{txt}{space 4}educ_cat {c |}{col 14}{res}{space 2} .1653785{col 26}{space 2} .0663045{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0354241{col 67}{space 3} .2953329
{txt}{space 5}age_cat {c |}{col 14}{res}{space 2} -.003427{col 26}{space 2}  .040766{col 37}{space 1}   -0.08{col 46}{space 3}0.933{col 54}{space 4}-.0833268{col 67}{space 3} .0764729
{txt}{space 12} {c |}
{space 2}voted_2011 {c |}
{space 8}Yes  {c |}{col 14}{res}{space 2}  2.61934{col 26}{space 2} .1405431{col 37}{space 1}   18.64{col 46}{space 3}0.000{col 54}{space 4} 2.343881{col 67}{space 3}   2.8948
{txt}{space 12} {c |}
{space 5}p_disab {c |}
{space 8}Yes  {c |}{col 14}{res}{space 2}-.1694974{col 26}{space 2} .1746586{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4} -.511822{col 67}{space 3} .1728272
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.433899{col 26}{space 2} .2043452{col 37}{space 1}   -7.02{col 46}{space 3}0.000{col 54}{space 4}-1.834408{col 67}{space 3}-1.033389
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. logit voted i.treatment c.interest c.educ_cat c.age_cat i.voted_2011 i.p_disab /// Interaction effects
> i.treatment#c.interest i.treatment#c.educ_cat i.treatment#c.age_cat /// 
> i.treatment#i.voted_2011 i.treatment#i.p_disab

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -1399.193}  
Iteration 1:{space 3}log likelihood = {res:-1087.7828}  
Iteration 2:{space 3}log likelihood = {res:-930.85468}  
Iteration 3:{space 3}log likelihood = {res:-921.53448}  
Iteration 4:{space 3}log likelihood = {res:-921.49143}  
Iteration 5:{space 3}log likelihood = {res:-921.49143}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,807
{txt}{col 49}LR chi2({res}11{txt}){col 67}= {res}    955.40
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-921.49143{txt}{col 49}Pseudo R2{col 67}= {res}    0.3414

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatment {c |}
{space 2}treatment  {c |}{col 14}{res}{space 2}-.6909457{col 26}{space 2} .3939024{col 37}{space 1}   -1.75{col 46}{space 3}0.079{col 54}{space 4} -1.46298{col 67}{space 3} .0810889
{txt}{space 4}interest {c |}{col 14}{res}{space 2} .2708163{col 26}{space 2} .0297607{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4} .2124864{col 67}{space 3} .3291463
{txt}{space 4}educ_cat {c |}{col 14}{res}{space 2}  .102541{col 26}{space 2} .0918161{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.0774152{col 67}{space 3} .2824972
{txt}{space 5}age_cat {c |}{col 14}{res}{space 2}-.0410722{col 26}{space 2} .0570787{col 37}{space 1}   -0.72{col 46}{space 3}0.472{col 54}{space 4}-.1529443{col 67}{space 3}    .0708
{txt}{space 12} {c |}
{space 2}voted_2011 {c |}
{space 8}Yes  {c |}{col 14}{res}{space 2} 2.443355{col 26}{space 2} .1965978{col 37}{space 1}   12.43{col 46}{space 3}0.000{col 54}{space 4}  2.05803{col 67}{space 3} 2.828679
{txt}{space 12} {c |}
{space 5}p_disab {c |}
{space 8}Yes  {c |}{col 14}{res}{space 2} .1525891{col 26}{space 2} .2417645{col 37}{space 1}    0.63{col 46}{space 3}0.528{col 54}{space 4}-.3212607{col 67}{space 3} .6264388
{txt}{space 12} {c |}
{space 3}treatment#{c |}
{space 2}c.interest {c |}
{space 2}treatment  {c |}{col 14}{res}{space 2} .0167492{col 26}{space 2} .0436472{col 37}{space 1}    0.38{col 46}{space 3}0.701{col 54}{space 4}-.0687978{col 67}{space 3} .1022962
{txt}{space 12} {c |}
{space 3}treatment#{c |}
{space 2}c.educ_cat {c |}
{space 2}treatment  {c |}{col 14}{res}{space 2} .1345784{col 26}{space 2} .1336032{col 37}{space 1}    1.01{col 46}{space 3}0.314{col 54}{space 4} -.127279{col 67}{space 3} .3964358
{txt}{space 12} {c |}
{space 3}treatment#{c |}
{space 3}c.age_cat {c |}
{space 2}treatment  {c |}{col 14}{res}{space 2} .0731118{col 26}{space 2} .0821225{col 37}{space 1}    0.89{col 46}{space 3}0.373{col 54}{space 4}-.0878453{col 67}{space 3} .2340688
{txt}{space 12} {c |}
{space 3}treatment#{c |}
{space 2}voted_2011 {c |}
{space 2}treatment #{c |}
{space 8}Yes  {c |}{col 14}{res}{space 2} .3970302{col 26}{space 2} .2834639{col 37}{space 1}    1.40{col 46}{space 3}0.161{col 54}{space 4}-.1585489{col 67}{space 3} .9526093
{txt}{space 12} {c |}
{space 3}treatment#{c |}
{space 5}p_disab {c |}
{space 2}treatment #{c |}
{space 8}Yes  {c |}{col 14}{res}{space 2}-.7427499{col 26}{space 2} .3527709{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4}-1.434168{col 67}{space 3}-.0513317
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.172058{col 26}{space 2}  .274603{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4} -1.71027{col 67}{space 3}-.6338464
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Alexander\Dropbox\How rto survey about turnout\Submission\JEPS\Replication file\Short paragraph experiment - Stata log file.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 3 Dec 2017, 15:15:54
{txt}{.-}
{smcl}
{txt}{sf}{ul off}